I’m excited to release a new software I’ve been building, OpenMeasure v0.1.0.
OpenMeasure is an open-source validation toolkit for research data, measures, models, and programs. The first release focuses on measurement validation, with a reliability module that computes Cronbach’s alpha, item diagnostics, split-half reliability, and plain-language interpretation alongside documented assumptions and limitations. Future directions will include auditing for fairness and algorithmic bias along with program evaluation.
My goal is to build tools that make statistical validation more transparent, reproducible, and accessible for applied research.
If you’re willing to take a look, I’d especially appreciate feedback on:
- Datasets or use cases to test
- Bugs or usability issues
- Features that would make it more useful in your work
- Ideas for future modules (data validation, model validation, program evaluation, or other validation workflows)
Live demo: https://openmeasure.streamlit.app
GitHub: https://github.com/victoriamccray/openmeasure
More info: https://victoriamccray.github.io/projects/tools/openmeasure/